An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and Adaptive Control Systems treats nonlinear control and adaptive controlin a unified framework, presenting the major results at a moderate mathematical level, suitable for MSc students and engineers with undergraduate degrees. Topics covered include introduction to nonlinear systems; state space models; describing functions forcommon nonlinear components; stability theory; feedback linearization; adaptive control; nonlinear observer design; backstepping design; disturbance rejection and output regulation; and control applications, including harmonic estimation and rejection inpower distribution systems, observer and control design for circadian rhythms, and discrete-time implementation of continuous-timenonlinear control laws.

About the Author

Zhengtao Ding is a Senior Lecturer in Control Engineering and Director for MSc in Advanced Control and Systems Engineering at the Control Systems Centre, School of Electrical and Electronic Engineering, The University of Manchester, UK. His research interests focus on nonlinear and adaptive control design. He pioneered research in asymptotic rejection of general periodic disturbances in nonlinear systems and produced a series of results to systematically solve this problem in various situations. He also made significant contributions in output regulation and adaptive control of nonlinear systems with some more recent results on observer design and output feedback control as well. Dr Ding has been teaching Nonlinear and Adaptive Control Systems to MSc students for 9 years, and he has accumulated tremendous experiences in explaining difficult control concepts to students.

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